Journal of Paleolimnology

, Volume 22, Issue 3, pp 291–317

Surface-sediment and epilithic diatom pH calibration sets for remote European mountain lakes (AL:PE Project) and their comparison with the Surface Waters Acidification Programme (SWAP) calibration set

  • N. G. Cameron
  • H. J. B. Birks
  • V. J. Jones
  • F. Berges
  • J. Catalan
  • R. J. Flower
  • J. Garcia
  • B. Kawecka
  • K. A. Koinig
  • A. Marchetto
  • P. Sánchez-Castillo
  • R. Schmidt
  • M. Šiško
  • N. Solovieva
  • E. Štefková
  • M. Toro
Article

DOI: 10.1023/A:1008025928509

Cite this article as:
Cameron, N.G., Birks, H.J.B., Jones, V.J. et al. Journal of Paleolimnology (1999) 22: 291. doi:10.1023/A:1008025928509

Abstract

A modern diatom-pH calibration data-set consisting of surface-sediment diatom assemblages from 118 lakes and 530 taxa is presented. The AL:PE data-set is from high-altitude or high-latitude lakes in the Alps, Norway, Svalbard, Kola Peninsula, UK, Slovenia, Slovakia, Poland, Portugal, and Spain (pH range = 4.5-8.0; DOC range = 0.2-3.2 mg l-1). In addition, 92 epilithon samples from 22 high-altitude or high-latitude lakes comprise an AL:PE epilithon diatom-pH data-set. Weighted averaging partial least squares regression is used to develop pH-inference models. The AL:PE data-set has a root-mean-square-error of prediction (RMSEP) of 0.33 and a maximum bias of 0.36 pH units and r2 of 0.82, as assessed by leave-one-out cross-validation. The epilithon data-set has, after data-screening and the deletion of one very obvious outlier, a RMSEP of 0.23 and a maximum bias of 0.18 pH units and r2 of 0.88. The 167 sample SWAP diatom-pH data-set from lowland or upland lakes in the UK, Norway, and Sweden has a RMSEP of 0.29 and a maximum bias of 0.23 pH units and r2 of 0.86.

The pH optima, as estimated by weighted averaging and Gaussian regression, are compared for the three data-sets (AL:PE, SWAP, AL:PE epilithon). There is a good correspondence between the AL:PE and the AL:PE epilithon optima, but a consistent bias between the AL:PE and SWAP optima, with the SWAP optima being lower than the AL:PE estimates.

The predictive performances of the AL:PE and SWAP calibration data-sets are compared using independent test samples and six core sequences, all from high-altitude lakes, one in south-east Siberia and five in eastern Scotland. The results show the importance of using the AL:PE data-set for inferring lake-water pH from diatom assemblages in high-altitude or high latitude lakes with low DOC concentrations.

diatomspHweighted average partial least squaresGuassian regressionhigh-altitude lakesDOCoptimaEurope

Copyright information

© Kluwer Academic Publishers 1999

Authors and Affiliations

  • N. G. Cameron
    • 1
  • H. J. B. Birks
    • 1
    • 2
  • V. J. Jones
    • 1
  • F. Berges
  • J. Catalan
    • 3
  • R. J. Flower
    • 1
  • J. Garcia
    • 4
  • B. Kawecka
    • 5
  • K. A. Koinig
    • 6
  • A. Marchetto
    • 7
  • P. Sánchez-Castillo
    • 8
  • R. Schmidt
    • 9
  • M. Šiško
    • 10
  • N. Solovieva
    • 1
  • E. Štefková
    • 11
  • M. Toro
    • 12
  1. 1.Environmental Change Research CentreUniversity College LondonLondonUK
  2. 2.Botanical InstituteUniversity of BergenBergenNorway
  3. 3.Department of EcologyUniversity of BarcelonaBarcelonaSpain
  4. 4.Secc. Enginyeria Ambiental, Dept. Enginyeria HidraulicaMaritima I AmbientalBarcelonaSpain
  5. 5.Karol Starmach Institute of Freshwater BiologyPolish Academy of SciencesKrak¢wPoland
  6. 6.Institut für Zoologie und LimnologieUniversity of InnsbruckInnsbruckAustria
  7. 7.CNR Istituto Italiano di IdrobiologiaVerbania PallanzaItaly
  8. 8.Departamento de Biologia Vegetal, Facultad de CienciasUniversidad de GranadaGranadaSpain
  9. 9.Institute of Limnology ÖAWMondsee/Gaisburg 116Austria
  10. 10.National Institute of BiologyLjubljanaSlovenia
  11. 11.Institute of ZoologySlovak Academy of SciencesBratislavaSlovakia
  12. 12.Departamento de Ecología, Facultad de CienciasUniversidad Autónoma de MadridMadridSpain